Quantization of Laguerre-Based Stereo Linear Predictors

A. Biswas; A.C. Brinker, den

Quantization of Laguerre-Based Stereo Linear Predictors

A. Biswas, A.C. Brinker, den

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Recently a quantization strategy for stereo linear prediction systems was proposed and tested using random data as input. This research is extended in the current paper by incorporating Laguerre filters in the stereo linear prediction scheme. First, it is shown that the associated normalized reflection matrices can be obtained efficiently. Second, the system was tested using stereo audio data in order to gain an insight into the required bit-rates for practical applications.

Original language	English
Title of host publication	Proceedings of the 122nd AES Convention, 5-8 May 2007, Vienna, Austria
Publication status	Published - 2007
Event	122nd Convention of the Audio Engineering Society (AES 2007 Convention) - Vienna, Austria Duration: 5 May 2007 → 8 May 2007

Conference

Conference	122nd Convention of the Audio Engineering Society (AES 2007 Convention)
Country/Territory	Austria
City	Vienna
Period	5/05/07 → 8/05/07

Cite this

@inproceedings{2cfd04f893204fe7874ff18a89ce82dd,

title = "Quantization of Laguerre-Based Stereo Linear Predictors",

abstract = "Recently a quantization strategy for stereo linear prediction systems was proposed and tested using random data as input. This research is extended in the current paper by incorporating Laguerre filters in the stereo linear prediction scheme. First, it is shown that the associated normalized reflection matrices can be obtained efficiently. Second, the system was tested using stereo audio data in order to gain an insight into the required bit-rates for practical applications.",

author = "A. Biswas and {Brinker, den}, A.C.",

year = "2007",

language = "English",

booktitle = "Proceedings of the 122nd AES Convention, 5-8 May 2007, Vienna, Austria",

note = "122nd Convention of the Audio Engineering Society (AES 2007 Convention) ; Conference date: 05-05-2007 Through 08-05-2007",

}

TY - GEN

T1 - Quantization of Laguerre-Based Stereo Linear Predictors

AU - Biswas, A.

AU - Brinker, den, A.C.

PY - 2007

Y1 - 2007

N2 - Recently a quantization strategy for stereo linear prediction systems was proposed and tested using random data as input. This research is extended in the current paper by incorporating Laguerre filters in the stereo linear prediction scheme. First, it is shown that the associated normalized reflection matrices can be obtained efficiently. Second, the system was tested using stereo audio data in order to gain an insight into the required bit-rates for practical applications.

AB - Recently a quantization strategy for stereo linear prediction systems was proposed and tested using random data as input. This research is extended in the current paper by incorporating Laguerre filters in the stereo linear prediction scheme. First, it is shown that the associated normalized reflection matrices can be obtained efficiently. Second, the system was tested using stereo audio data in order to gain an insight into the required bit-rates for practical applications.

M3 - Conference contribution

BT - Proceedings of the 122nd AES Convention, 5-8 May 2007, Vienna, Austria

T2 - 122nd Convention of the Audio Engineering Society (AES 2007 Convention)

Y2 - 5 May 2007 through 8 May 2007

ER -

Quantization of Laguerre-Based Stereo Linear Predictors

Abstract

Conference

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